William W. Chen
Impact in
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- DNA and Nucleic Acid Chemistry
- Biophysics top 5%
Papers in
-
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 3
- Gene Regulatory Network Analysis 3
- Machine Learning in Bioinformatics 1
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- Enzyme Structure and Function 4
- Co-authors
- Peter K. Sorger (4 shared papers)Mario Niepel (2 shared papers)Eugene I. Shakhnovich (5 shared papers)Douglas A. Lauffenburger (1 shared paper)Paul Jasper (1 shared paper)Ulrik B. Nielsen (1 shared paper)Birgit Schoeberl (1 shared paper)Cynthia N. Fuhrmann (1 shared paper)
- Journals
- Toxicological Sciences (2 papers)PLoS Computational Biology (2 papers)Molecular Systems Biology (2 papers)Genes & Development (1 paper)Journal of Black Psychology (1 paper)
- Partner nations
- United States
In The Last Decade
William W. Chen
14 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 872
- Biophysics 53
- Computational Theory and Mathematics 120
- Modeling and Simulation 33
- Cancer Research 60
Countries citing papers authored by William W. Chen
This map shows the geographic impact of William W. Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William W. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William W. Chen more than expected).
Fields of papers citing papers by William W. Chen
This network shows the impact of papers produced by William W. Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William W. Chen. The network helps show where William W. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside William W. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 276 | |
| 2 | 2010 | 195 | |
| 3 | 2003 | 120 | |
| 4 | 2005 | 78 | |
| 5 | 2007 | 71 | |
| 6 | 2012 | 64 | |
| 7 | 2013 | 62 | |
| 8 | 2007 | 51 | |
| 9 | 2005 | 39 | |
| 10 | 2014 | 37 | |
| 11 | 2005 | 26 | |
| 12 | 2019 | 21 | |
| 13 | 2006 | 17 | |
| 14 | Some New Tables for Upper Probability Points of the Largest Root of a Determinantal Equation with Seven and Eight Roots | 2002 | 1 |
About William W. Chen
William W. Chen is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Spectroscopy and Computational Theory and Mathematics, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Gene Regulatory Network Analysis (3 papers), Computational Drug Discovery Methods (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Molecular Biology (872 citations), Biophysics (53 citations), Computational Theory and Mathematics (120 citations), Modeling and Simulation (33 citations) and Cancer Research (60 citations). William W. Chen has collaborated with scholars based in United States. Frequent co-authors include Peter K. Sorger, Mario Niepel, Eugene I. Shakhnovich, Douglas A. Lauffenburger, Paul Jasper, Ulrik B. Nielsen, Birgit Schoeberl, Cynthia N. Fuhrmann, Alan D. Frankel and Alan C. Cheng. Their work appears in journals such as Toxicological Sciences, PLoS Computational Biology, Molecular Systems Biology, Genes & Development and Journal of Black Psychology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.